Computational modelling of CAR T-cell therapy: from cellular kinetics to patient-level predictions.

ABSTRACT: Chimeric Antigen Receptor (CAR) T-cell therapy is characterised by the heterogeneous cellular kinetic profile seen across patients. Unlike traditional chemotherapy, which displays predictable dose-exposure relationships resulting from well-understood pharmacokinetic processes, CAR T-cell dynamics rely on complex biologic factors that condition treatment response. Computational approaches hold potential to explore the intricate cellular dynamics arising from CAR T therapy, yet their ability to improve cancer treatment remains elusive. Here we present a comprehensive framework through which to understand, construct, and classify CAR T-cell kinetics models. Current approaches often rely on adapted empirical pharmacokinetic methods that overlook dynamics emerging from cellular interactions, or

SUBMITTER: Murias-Closas A 

PROVIDER: S-EPMC11914757 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature